Cloud-Native Data in Natural and Engineering Sciences

Join the first CLOUD‑NES symposium to identify gaps, barriers, and priorities for cloud-native data access and processing in the NES domain!

Be part of CLOUD-NES: Facilitating Cloud-Native Data Access and Processing for Natural and Engineering Sciences, an initiative dedicated to advancing efficient, scalable, and reproducible research through cloud-native approaches.

CLOUD-NES stimulates the adoption of cloud-native methods for publishing, accessing, and processing research data. Using geospatial data as a case study, the project demonstrates the benefits of cloud-native workflows through reproducible benchmarks. In addition, it provides practical training and guidance to researchers, research support staff, and data publishers to help embed cloud-native best practices across the Natural and Engineering Sciences (NES) domain.

Why attend?

This symposium brings together stakeholders from research, data infrastructures, and policy to:

• Identify gaps, barriers, and priorities for cloud-native data access and processing in NES
• Align national needs with international best practices and infrastructures
• Build a national stakeholder network connecting data providers, researchers, infrastructures, and policy actors

What to expect

• Inspiring keynote presentations on the importance and impact of cloud-native data
• Stakeholder perspectives highlighting real-world challenges and opportunities
• Interactive breakout sessions to define key gaps, needs, and potential solutions
• A forward-looking panel discussion to help shape the path ahead

Whether you are a researcher, data steward, infrastructure provider, or policymaker, your perspective is essential. Join us to help shape a more efficient, interoperable, and future-proof data ecosystem for Natural and Engineering Sciences.

Let's build the cloud-native future together!

The project "CLOUD-NES: Facilitating Cloud-Native Data Access and Processing for Natural and Engineering Sciences" with file number ICT.001.TDCC.016 of the research programme NWO TDCC Fund 2023-2 is financed by the Dutch Research Council (NWO)